Application of intelligent agents in health-care: review

Complementing Agents with Cognitive Services: A Case Study in Healthcare

“…In the context of healthcare, while intelligent agents have been applied for different purposes [ 15 , 16 , 22 ], the use of PAs has been poorly explored, mainly in the Ambient Assisted Living domain [ 32 , 34 ] and in the remote management of chronic conditions, such as diabetes [ 4 , 8 ]. However, the potential benefits of PAs to support physicians in their activities are unquestionable: the complexity given by the high variability and factors – of both users (patients) and environment – requires flexibility and situatedness, thus making modelling and engineering PAs very challenging.…”

Intelligent agents in biomedical engineering: a systematic review

“…1,5 The scalability of a MAS can be defined by the number of agents, amount of communication, number of tasks and amount of resources that can be increased or reduced in execution time without affecting the system. 2,6 Knowledge representation in a MAS is different from other computer systems, since they have reasoning mechanisms and autonomous distributed interactions, not only dealing with static information, but also dynamic. 1,3,4,6 Communication between agents of a MAS (inter-agent) takes place through the use of pre-defined protocols or programming languages.…”

“…2,6 Knowledge representation in a MAS is different from other computer systems, since they have reasoning mechanisms and autonomous distributed interactions, not only dealing with static information, but also dynamic. 1,3,4,6 Communication between agents of a MAS (inter-agent) takes place through the use of pre-defined protocols or programming languages. 1,2 IAgs are heterogeneous, distributed and autonomous models, which can be easily compared and mapped in the health care domain, since this domain has many distinct pathologies and care strategies, in addition to the heterogeneity of patients, also allowing for the creation of personalized models of care.…”

“…1,2 IAgs are heterogeneous, distributed and autonomous models, which can be easily compared and mapped in the health care domain, since this domain has many distinct pathologies and care strategies, in addition to the heterogeneity of patients, also allowing for the creation of personalized models of care. 1,2,6 The use of MAS in the context of health can assist in a quick and intelligent way the decision making in a certain case, optimizing the patient care process, if necessary. [3][4][5][6] Since the components of a healthcare system and the ones involved in it can be considered agents, and that the interaction between parts of the system and between systems is also possible, both in solving a problem and in assisting in decision-making, 6,7 the use of MAS in Biomedical Engineering (BE) becomes attractive.…”

iAgent: When AI Meets Mobile Agent

“…Reference [25] improved the Q-learning algorithm to overcome the dimensionality problem in a multi-agent system. Reference [26] reviewed recent studies in mobile-agent-based healthcare to provide a deep insight into future applications. And wireless communication technology based on edge computing is proposed in [27].…”